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Can I read Lanczos Algorithms for Large Symmetric Eigenvalue Computations: Volume 1, Theory (Classics in Applied Mathematics, Series Number 41) on EtoBox?
Lanczos Algorithms for Large Symmetric Eigenvalue Computations: Volume 1, Theory (Classics in Applied Mathematics, Series Number 41) by Jane K. Cullum, Ralph A. Willoughby is a nonfiction available to read on EtoBox.
What is Lanczos Algorithms for Large Symmetric Eigenvalue Computations: Volume 1, Theory (Classics in Applied Mathematics, Series Number 41) about?
<p>First published in 1985, this book presents background material, descriptions, and supporting theory relating to practical numerical algorithms for the solution of huge eigenvalue problems. This book deals with 'symmetric' problems. However, in this book, 'symmetric' also encompasses numerical procedures for computing singular values and vectors of real rectangular matrices and numerical procedures for computing eigenelements of nondefective complex symmetric matrices. Although preserving orthogonality has been the golden rule in linear algebra, most of the algorithms in this book conform to that rule only locally, resulting in markedly reduced memory requirements. Additionally, most of the algorithms discussed separate the eigenvalue (singular value) computations from the corresponding eigenvector (singular vector) computations. This separation prevents losses in accuracy that can occur in methods which, in order to be able to compute further into the spectrum, use successive implicit deflation by computed eigenvector or singular vector approximations.</p>
Who reads Lanczos Algorithms for Large Symmetric Eigenvalue Computations: Volume 1, Theory (Classics in Applied Mathematics, Series Number 41)?
It is typically read by self-directed learners exploring a subject in depth.
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- Author
- Jane K. Cullum, Ralph A. Willoughby
- Publisher
- SIAM: Society for Industrial and Applied Mathematics
- Published
- 2002
- Language
- EN
- ISBN
- 9780898715231
- Category
- nonfiction
- Subjects
- Mathematics, Stem
- Rating
- 3.5 / 5 (2 ratings)
- Updated
- 2026-03-14
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